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Helix AI Engineer, Robot Learning
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a Helix AI Engineer, Robot Learning with a strong robotics learning background to help develop and improve our visuomotor manipulation policies , with a heavy emphasis on real-robot deployment . Responsibilities Design, train, evaluate, and deploy learning-based visuomotor policies for humanoid robot manipulation Develop manipulation behaviors such as grasping, pick-and-place, object reorientation, door opening, bimanual manipulation, and basic assembly Apply and extend techniques including behavior cloning, reinforcement learning, and VLA reasoning Train models that are robust to real-world challenges such as sensor noise, partial observability, contact dynamics, and environment variability Own the full pipeline from data collection on real robots to model training, evaluation, and deployment Work closely with simulation and digital twin tooling where useful, while...
Staff Data Scientist - Ads Measurement, Signals, P...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability whil...
C++ Machine Learning Engineer, Models Training
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you. This role is hybrid, based out of Warsaw or Gdansk, Poland. We also consider remote candidates within Poland on a case-by-case status. We welcome candidates at various experience levels for...
Helix AI Engineer, Video Pretraining
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration. Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Video Pretraining to lead the development of large-scale video foundation models trained on diverse real-world and robot-collected data. This role focuses on pretraining models that learn from raw video—capturing motion, interaction, and temporal structure—to enable downstream capabilities in perception, prediction, and embodied reasoning. Responsibilities Design and train large-scale video foundation models on diverse datasets spanning internet-scale video and robot-collected data Develop pretraining strategies that capture temporal dynamics, motion, and object interaction from raw video sequences Build models that learn transferable representations for downstream tasks such as perception, tracking, prediction, and control Explore architectures for video understanding a...
Staff Machine Learning Engineer
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. About the Role We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to work on Traffic Sign Recognition ( TSR ) 2D detection for production autonomous driving systems. In this role, you will be responsible for the full lifecycle of TSR model development, including scenario analysis, data preparation, model training, evaluation, optimization , quantization, and deployment . You will work closely with perception, data, infrastructure, and deployment teams to improve traffic sign detection performance across diverse real-world driving scenarios. This role is ideal for candidates who enjoy solving practical computer vision problems, building reliable model iteration pipelines, and bringing perception m...
DevOps Engineer, Infrastructure & Security
As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: - At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: - Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. - Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. - Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. - Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. - Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. - Document pipeline processes and configurations to ensure maintainability and knowledge transfer. - Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. - Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC. Ideally you'd have: - 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role. - Proven track record of building or significantly enhancing CI/CD pipelines. - Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments. - Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP). - Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell). - Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps). - Knowledge of software architecture, system design, and version control systems. - Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems. - Basic understanding of security best practices in software development and an eagerness to integrate them. - A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows. - Strong pro
Full-Stack SWE, Data Acquisition (Foundations)
Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: - Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. - Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. - Design and implement APIs to facilitate data interactions between internal services and external data sources. - Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. - Optimize backend services for performance, scalability, and security in a distributed computing environment. - Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. - Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. - Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in full-stack development. - Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. - Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). - Experience building data-intensive applications that handle large-scale datasets. - Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). - Prior experience with web crawling and large-scale data processing is a plus. - Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment. - Excellent communication and collaboration skills. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
DevOps Engineer
We’re looking for a DevOps Engineer to help design, build, and optimize the cloud infrastructure powering our machine learning operations. You’ll play a key role in scaling AI models from research to production — ensuring smooth deployments, real-time monitoring, and rock-solid reliability across our Google Cloud Platform (GCP) environment. You’ll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players worldwide. What You’ll Do - Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible . - Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like Vertex AI , Jenkins , and DataDog . - Build and maintain scalable data and feature pipelines for both real-time and batch processing using BigQuery , BigTable , Dataflow , Composer , Pub/Sub , and Cloud Run . - Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards. - Optimize inference performance , improving latency and cost-efficiency of AI workloads. - Ensure overall system reliability, scalability, and performance across the ML/Data platform. - Define and implement infrastructure best practices for deployment, monitoring, logging, and security. - Troubleshoot complex issues affecting ML/Data pipelines and production systems. - Ensure compliance with data governance, security, and regulatory standards , especially for real-money gaming environments. What We’re Looking For </
Strategic Finance, Compute
About the Team The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is central to OpenAI’s roadmap and vision. We are seeking a candidate to support financial and strategic work across our compute and infrastructure portfolio. This is a finance generalist role that includes core FP&A responsibilities as well as having the ability to understand investment analysis, commercial decision support, and strategic planning. You will partner closely with deal teams, technical and finance teams, Corporate FP&A and help shape decisions about how OpenAI invests in and manages compute. In this role, own and drive all financial planning, forecasting & close processes for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ) In this role, you will: - Support & scale all FP&A functions including planning, forecasting, close, budgeting, reporting, and variance analysis across compute and infrastructure - Build and maintain driver based high level financial models across different elements of compute, including GPUs, CPUs, storage, networking, data centers, and power to support rapid / iterative short term and long term planning. - Consolidate various investment analysis across programs and create high-quality analyses, recommendations, and Exec and Board-facing presentations - Support business partners across compute infrastructure, FP&A, and strategic finance - Drive the improvement of the team’s processes, tools, and ways of working, and identify opportunities to scale effectively to support OpenAIs ambitious growth plans - Support & scale all FP&A functions including planning, forecasting, close, budgeting, reporting, and variance analysis across compute and infrastructure - Coordinate closely with Corporate FP&A on timelines and process - Develop frameworks for investment trade-offs to guide executive decision making - Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx) - Translate complex infrastructure costs into clear insights for leadership - Effectively use internal AI tools to automate reporting/processes with a goal to improve efficiency and turn around time. You might thrive in this role if you have: - 7+ years in a finance and strategy operating role at a high-growth technology company - Background in infrastructure, data centers, compute, cloud, semiconductors, or a related industry strongly preferred - Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty - Exceptional analytical, financial modeling, and written and verbal communication skills - Proven ability to learn quickly and succeed in unfamiliar operating environments - Comfort independently structuring ambiguous problems and working through incomplete information - Track record of producing high-quality work under ambitious deadlines - Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus - Effectiveness in multidisciplinary, cross-functional environments - Familiarity with data systems, analytical tools, and large datasets preferred but not required - Bachelor’s degree or equivalent practical experience; technical undergraduate degree preferred but not required About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
B2B Growth Marketing - Agents
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for someone to focus on self-serve growth of ElevenAgents. Tens of thousands of startups, enterprises, indie-developers, and SMBs are already building agents with ElevenLabs and yet we’re still so early. If you’re successful, everyone that is looking to build conversational agents will choose ElevenLabs. You’ll play a key role in developing and scaling our primary growth channels, including paid digital campaigns, influencer partnerships, SEO, joining and hosting in-person events, and running viral launches. As a data-driven team, you’ll develop data analyses to better understand our acquisition channels and our users. REQUIREMENTS - Technically fluent - able to understand our APIs, Agents platform deeply and translate it into value props for small business users - Highly creative and experimentation-driven, with extensive experience running and optimizing data-driven growth marketing campaigns - Familiarity with growth channels such as SEO, performance marketing, influencer marketing, and organic social - Self-starter with strong ownership, autonomy, and a bias toward action and automation - Demonstrated initiative and accountability for outcomes and systems - Relentless commitment to excellence - holds a high bar for quality, clarity, and impact - Bonus: - Founder or early-stage experience - has built and scaled something from sc
Senior Machine Learning Engineer, AI Performance
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We’re looking for a Senior Machine Learning Engineer to join a high-ownership team responsible for delivering production-ready model...
Forward Deployed Engineer (Inference & Post-Traini...
About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determi...
Sr. Staff Data Scientist - Ads Measurement, Signal...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes. As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, sig...
Member of Technical Staff - Multimodal Understandi...
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: You will join the multimodal team to push toward superhuman multimodal intelligence. Advance understanding and generation across modalities—image, video, audio, and text—spanning the full stack: data curation/acquisition, tokenizer training, large-scale pre-training, post-training/alignment, infrastructure/scaling, evaluation, tooling/demos, and end-to-end product experiences. Collaborate cross-functionally with pre-training,...
Software Engineer - Search Ranking
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The X Search team is responsible for building and operating the core search engine that powers discovery on X. We own the full end-to-end search stack — from real-time retrieval and indexing to ranking and the end-user search experience. Our goal is to create the most relevant, fast, and intelligent search experience on the internet by combining state-of-the-art information retrieval systems with Grok’s reasoning capabilities....
Helix AI Engineer, Pretraining
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration. Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience. This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability—forming the backbone for downstream capabilities in perception, planning, and action. Responsibilities Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data) Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks Explore and implement architectures including transformer-based and emerging foundation model paradigms Work on scaling laws, dataset mixture design, and training dynamics for frontier models Build an...
Helix AI Engineer, Modeling
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration. Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Modeling to design and advance the core model architectures and learning approaches that enable perception, reasoning, and action in embodied systems. This role focuses on developing new modeling approaches across vision, language, and action—spanning representation learning, multimodal fusion, and model capabilities that directly impact robot intelligence. Responsibilities Design and develop model architectures for perception, reasoning, and action across multimodal inputs (e.g., vision, language, proprioception) Build models that learn structured representations of the world, including objects, dynamics, and interactions Advance multimodal learning approaches, including fusion, alignment, and cross-modal reasoning Improve model capabilities in areas such as generalizat...
Helix AI Engineer, Generative AI
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration. Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on training and deploying diffusion and generative models across vision, video, and multimodal domains, with applications spanning perception, data generation, and model-based reasoning. Responsibilities Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning Explore and implement state-of-the-art techniques in diffusion, generative mode...
Software Engineer, Cloud Deployment Infrastructure
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every le...
Senior Applied ML Engineer - ML4Sys
RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel model...
Commercial Counsel - Partnerships
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced Commercial Counsel - Channel Partnerships & Alliances to join our US Legal Team. In this role, you will support complex commercial transactions, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. In the Commercial Counsel - Partnerships role specifically, you will work on partnership arrangements including ISV integrations, SI alliances, reseller channels, and strategic referral networks. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. Responsibilities - Own end-to-end legal strategy and execution for ElevenLabs’ partnership ecosystem, including ISV and platform integration agreements, systems integrator and consulting partnerships, channel partner programs, reseller and distribution arrangements, marketplace agreements, embedded and OEM-style arrangements, and strategic alliance structures. - Draft, review, and negotiate commercial agreements, with a primary focus on Partnerships deals and enterprise customer contracts - Serve as the primary legal partner to ElevenLabs’ Partnerships team, providing strategic counsel that balances risk management with speed-to-market an
Research Engineer/Research Scientist- Personal AGI...
About the Team The Personal AGI team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. In the Model Experience team, we shape the default character and behavior of ChatGPT: how the model communicates, responds to users, uses its capabilities, and behaves across different contexts and languages. Our goal is to make every interaction with ChatGPT thoughtful, helpful, and trustworthy. We take an opinionated view of what good human–AI interaction should look like, then turn that vision into real model behavior through human data, evaluations, reward models, and post-training. Our work sits at the intersection of research, product, and model design. We partner closely with teams across OpenAI to conduct research and ensure our models are thoughtful, safe, reliable to serve millions of users. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research and the quality of human-AI interaction. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own and pursue a research agenda to improve model capability and performance. - Collaborate closely with the other research and product teams, allowing customers to optimize their own models. - Build robust evaluations for tracking modeling improvements. - Design, implement, test, and debug code across our research stack. You might thrive in this role if you: - Have a deep understanding of machine learning and machine learning applications. - Have good judgment about model behavior and can communicate this judgment effectively. - Enjoy taking ambitious, qualitative problems and turning them into concrete training interventions. - Have a working knowledge of relevant models, and building evaluations for model capability improvement. - Are comfortable diving into a large ML codebase to debug. - Thrive in a dynamic, technically complex, and collaborative environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Executive - North America - ElevenCreative...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own a portfolio of corporate accounts in the United States, focused on ElevenCreative. The corporate segment is a high-volume, high-velocity motion where fast conversion, strong product knowledge, and efficient pipeline management matter most. You will be the first point of contact for companies that are ready to move quickly. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This role focuses on corporate accounts (growing companies typically with fewer than 200 employees). You should thrive in a fast-paced, high-volume environment with short sales cycles, often closing within days to weeks. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead
Account Executive - North America - Music Speciali...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is looking for our first Music Product Specialist to lead the commercial adoption of our AI Music platform. This is a highly strategic, customer-facing role that sits at the intersection of product, sales, and the music industry. As our music offering continues to scale, we're looking for someone who combines deep expertise in the music ecosystem with a strong enterprise sales background. You will become the go-to expert on our music products, partnering closely with Account Executives to help customers understand how AI can transform music creation, production, and licensing workflows. Your success will be measured by driving product adoption, enabling the sales organization, influencing product direction through customer feedback, and helping close strategic opportunities where music expertise is essential. IN THIS ROLE YOU WILL - Serve as the subject matter expert for ElevenLabs' Music products, supporting enterprise sales opportunities from discovery through deployment. - Partner closely with Account Executives throughout the sales cycle, providing product expertise, customer education, and strategic guidance on music-specific use cases. - Drive adoption of our Music platform across enterprise customers in Media & Entertainment, technology, gaming, advertising, publishing, and other creative industries. - Build relationships with k
Strategic Account Executive - Sweden - Industrials...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Sweden's largest enterprises, with a specific focus on Industrials and Telecommunications. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Swedish industrial and telecom organizations — and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents — our end-to-end platform for building and deploying AI voice agents — to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of strategic accounts across Sweden, with a primary focus on Industrials and Telecommunications, to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for industrial and telecom organizations. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executi
Strategic Account Executive - Brazil
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated Strategic Account Executive to drive ElevenLabs' growth in Fortune 500 and large-scale enterprises across Brazil. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals - Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more - Develop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance). - Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. - Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the C‑suite and board level. - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale Location The candidate should preferably be based in São Paulo, Brazil. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Account Manager - North America - Strategic Segmen...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own the full commercial relationship and customer success across a book of 5 to 15 strategic accounts - the most complex, high-value organizations in the world, with over 10,000 employees, who are defining what AI-native experiences look, feel, and sound like at massive scale. Your job is to make sure every one of them is getting real value, expanding into new products, and renewing with conviction. This is a high-stakes, high-influence role. You'll go exceptionally deep with a small number of transformational accounts, building the executive partnerships, multi-stakeholder relationships, and long-term success plans that turn ElevenLabs into a strategic platform bet for some of the world's largest companies. If you thrive in complex enterprise environments and know how to drive large commercial outcomes through trust and vision, this role was built for you. On the ground, you'll be in the product with customers - advising on agent design, voice customization, conversation flows, integrations, and using data and logs to spot friction before customers do. You're the person who connects what's working technically to what's growing commercially and partnering closely with high growth accounts to help them achieve value. Success of the customer and commercial ownership go hand in hand and are at the core of this role. You own NRR across your
Account Executive - Canada - Enterprise
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is building its first dedicated Canadian go-to-market team, and this is a founding Enterprise Account Executive role based in Canada. We’re looking for an experienced, motivated seller to drive ElevenLabs’ growth in Fortune 500 and large-scale enterprises across Canada. Working alongside the team led by our GM of Canada, you’ll help build our Canadian enterprise playbook from the ground up. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. IN THIS ROLE YOU WILL 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Generate and own pipeline through targeted outbound into priority accounts, partnering with SDRs and our partnerships team to break into the C-suite 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 5. Demonstrate expertise, or a strong willi
AI Creative Producer
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE AI-generated content is becoming a dominant format across social, creator, and product marketing. Models are evolving at high speed, new modalities unlock new creative possibilities, and audiences now expect a level of quality that traditional production can’t keep up with. We’re currently producing content that reaches millions of people every month, but we’re in a fast-growing market, and we’ve only begun to show what ElevenLabs’ creative tools can do. We’re hiring an AI Creative Producer to join our Creator Growth team to help scale our content production. You’ll help define what great AI-generated content looks like — from cinematic visuals and short films to social assets that inspire millions of creators. Your mission is to prototype workflows, test models, and push the creative boundaries of ElevenLabs’ AI tools. You’ll work closely with our social and growth teams to produce content that drives awareness, teaches creators what’s possible, and showcases the future of AI-powered storytelling. REQUIREMENTS We’re looking for a uniquely creative and technically fluent individual who thrives at the intersection of storytelling and generative media. You’ll thrive in this role if you: - Have deep experience prompting for image, video, and audio models — with a strong portfolio of examples. - Have a sharp design eye and can distinguish between goo
Technical Program Manager, Safeguards (Infrastruct...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable : when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving. What You'll Do: - Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk. - Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does. - Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not. - Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks durin
Software Engineer, Privacy
About the Team The Privacy Team at OpenAI is committed to building a secure and trustworthy platform. Our area of responsibility encompasses all OpenAI products and systems that process user data. We provide cross-functional partners with the tools needed to ensure that all products adhere to the highest standards of data privacy and legal compliance. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing Artificial General Intelligence (AGI) that offers widespread benefits. About the Role We’re in search of a Software Engineer with experience building data pipelines and working closely with members of the Legal team. This role is perfect for someone who's passionate about the intersection of systems, privacy, and legal compliance. You will architect, design, and write backend systems responsible for handling some of the most sensitive data at OpenAI. This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, build, and maintain back-end systems and services that power privacy and data compliance functions within our API products and consumer applications. - Work closely with legal advisors and other engineers to respond to court orders and other legal processes, all while upholding strict data privacy and legal standards. - Identify opportunities for automation and build the tools that enable other teams to automate tasks involving customer data. - Develop and implement data handling policies and procedures in compliance with legal and ethical standards, ensuring the integrity and confidentiality of user data. You might thrive in this role if you: - Have experience building data pipelines, especially for legal processes and investigative workflows. - Can translate legal requirements into technical solutions and explain technical solutions to a non-technical audience. - Take responsibility for problems from beginning to end, and are prepared to acquire any missing knowledge necessary to get the job done. - Create tools to speed up your own and your colleagues’ workflows, particularly when pre-existing solutions are inadequate. - Deeply care about user experience and take pride in developing products that meet customer needs while ensuring privacy. - Have a background in security investigations or experience working in collaboration with trust and safety, legal, and engineering teams. Compensation, Benefits and Perks This is a position with OpenAI Ireland Ltd., which controls the hiring and management of this position. Total compensation includes an annual salary, generous equity, and benefits. - Medical, dental, and vision insurance for you and your family - Mental health and wellness support - PRSA plan with 6% employer matching - Unlimited time off - Annual learning & development stipend (€1,400 per year) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Scientist
About the job Our core belief at Fugo is that our potential grows with our team. With each new team member, we ensure that we have moved a step forward towards creating the highest quality mobile games possible. We are looking for a talented and creative Data Scientist interested in pushing the boundaries of game analytics. You’ll have a proven ability to apply your skills, be it technical, behavioral or economic, to generate value for the studio's new generation of awesome mobile games. Desired Skills and Experience: - Bachelor's degree in related departments from a reputable university. - 2+ years of work experience as a data scientist. - Strong knowledge of statistical methods, machine learning algorithms, and data visualization techniques. - Proficiency in programming languages such as Python or R. - Advanced SQL skills - Excellent problem-solving skills and attention to detail. - Strong communication skills, with the ability to present complex data insights to non-technical stakeholders. - Passion for gaming and a deep understanding of player behavior and game mechanics. What you will do: - Analyze large datasets to extract meaningful insights and trends. - Develop and implement data models and algorithms to enhance game performance and user experience. - Collaborate with other departments to integrate data-driven decision-making into the game development process. - Design and conduct A/B tests to evaluate the impact of new features and improvements. - Monitor and optimize in-game metrics to ensure player satisfaction and retention. - Provide actionable recommendations based on data analysis to improve game engagement and monetization. What you can expect from us: - Being a part of a passionate team - Opportunity to take initiative and bring new ideas - Enjoy coming to work every day and to have delightful stories to tell your family and friends
Threat Intel Manager, CBRN-E & Advanced Weapons
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons. You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program - Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas - Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities - Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers - Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs - Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle - Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations - Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes - Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings. Minimum qualifications - Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains - Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead - Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks - Have hands-on experience with large language models and how AI cou
Deployment Strategist - Brazil
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineer
Research Engineer, Codex
About the Team The Codex Research team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of the Codex Research team, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you might: - Design and run experiments that improve agentic model behavior across coding, tool use, function calling, computer use, multi-agent collaboration, long-horizon tasks, factuality, instruction following, and calibrated reasoning. - Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. - Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions. - Partner with Codex, API/platform, ChatGPT, and general-agent product teams to understand what users need and translate product signal into model improvements. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs. - Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. - Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. - Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes. You might thrive in this role if you: - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Scientist
Founded in 1999, WorldWinner develops and operates competitive games of skill with real cash prizes under the WorldWinner consumer brand and in partnership with leading Sports Gaming Entertainment company FanDuel under the FanDuel Faceoff name. WorldWinner is the most recognized and trusted skill games technology platform and brand for players who want to Play to Win. We bring games to the world that inspire people to play for more. With over 20 challenging games where the outcome is dependent on player skills versus chance across a content library spanning classic card games to casual favorites to retro arcade games, WorldWinner has something for every gamer. Backed by Platinum Equity and strategic investors, we are building the next phase of our platform on mobile and beyond. We are seeking a Data Scientist to join our analytics organization and serve as the technical modeling engine behind our player experience, monetization, and growth strategies. This is a hands-on individual contributor role embedded in a tight-knit analytics team, working directly with the Director of Business Performance on problem framing, prioritization, and execution. What You'll Work On You will own the modeling workstreams that sit at the core of how WorldWinner understands and serves its players. Initial scope includes: - Fair matching algorithm — modeling and improving skill-based player matching to create competitive, satisfying game experiences - Skill ranking system — developing and refining the rating framework that underpins player progression and matchmaking - Predictive LTV — building models that forecast player lifetime value to inform acquisition, targeting, and monetization decisions As you grow into the role, your scope will expand to include: - Churn prediction — identifying at-risk players and surfacing actionable signals for retention intervention - Mixed marketing model (MMM) — measuring the incremental impact of marketing spend across channels - Additional modeling projects driven by product and business priorities How You'll Work This role is not a silo. You will work closely with the Director of Business Performance throughout the lifecycle of every project — from framing the business question and scoping the approach, to communicating progress, surfacing blockers early, and presenting findings to stakeholders. We move fast, operate with high trust, and expect regular two-way communication on what you're building and why. You will be expected to represent the analytics function in cross-functional meetings — with product, marketing, and engineering — without needing translation. That means explaining model logic to non-technical audiences, translating business questions into analytical approaches, and advocating for data-driven decisions in rooms where not everyone speaks statistics. What We're Looking For Required - 4+ years of experience in applied data science, with a track record of shipping models that drove measurable business outcomes - Experience owning models end-to-end; from problem framing and development through deployment, monitoring, and ongoing iteration in production - Strong proficiency in Python for modeling, statistical analysis, a
Account Executive - ElevenCreative - Spain
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own the ElevenCreative enterprise sales motion across Spain, building pipeline and closing deals with enterprise creative and marketing teams. DACH has one of the strongest existing enterprise footprints for ElevenLabs, with meaningful ARR, proven deal velocity, and growing creative demand - this is a market where we are accelerating, not experimenting. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers
Anthropic Fellows Program, AI Security
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Apply using this link . Applications for the next cohort of Anthropic Fellows close at 11:59pm PT on July 26 . The cohort is expected to start November 2 . In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the November start date doesn't work for you. This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting . Anthropic Fellows Program overview The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis. What to expect - 4 months of full-time research - Direct mentorship from Anthropic researchers - Access to a shared workspace (in either Berkeley, California or London, UK) - Connection to the broader AI safety and security research community - Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country) - Funding for compute (~$15k/month) and other research expenses Interview process The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension). Fellows workstreams Due to the success of the Anthropic Fellows for AI Safety Research progra
Hardware / Software CoDesign Engineer - 3P
About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities - Co-design future hardware for programmability and performance with our hardware vendors - Assist hardware vendors in developing optimal kernels and add support for it in our compiler - Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features - Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking - Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators - Manage communication and coordination with internal and external partners - Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads. - Evaluate potential partners’ accelerators and platforms. - As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings. Qualifications - 4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware. - Strong experience in software/hardware co-design - Deep understanding of GPU and/or other AI accelerators - Experience with CUDA, Triton or a related accelerator programming language - Experience driving Machine Learning accuracy with low precision formats - Experience with system performance modeling and analysis to optimize ML model deployment - Strong coding skills in C/C++ and Python - Are familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture. - Able to actively collaborate with ML engineers, kernel writers, compiler developers, system engineers, chip architects/microarchitects Preferred Skills - PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems - Strong understanding of LLMs and challenges related to their training and inference About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Engagement Manager, User Operations
About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role As a Product Engagement Manager on the User Operations team, you will lead a team of Product Engagement Specialists responsible for ensuring smooth, successful product launches across internal and external teams. You’ll be the glue connecting product teams and support operations, equipping teams with the tools and knowledge needed to support new product rollouts. You’ll build scalable feedback loops that capture the voice of the user and translate insights into actionable product improvements, and ensure that frontline teams have the knowledge and skills to deliver accurate, delightful customer interactions at scale. We’re looking for someone who thrives at the intersection of product management, team enablement, and customer advocacy, and who enjoys working cross-functionally in a fast-paced, evolving environment. This person will manage the day-to-day work while also helping architect the systems needed to scale it. The successful candidate will be a leader-coach who can lead a small team while continuing to perform individual contributor work. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead a team coordinating product launches across internal and external teams, ensuring seamless execution and support readiness. - Set the team’s strategy and priorities, translate them into clear goals and quality standards, and allocate capacity to deliver against them. - Build a high-performing team through ongoing coaching, feedback, development, and performance management. - Build out a Voice of the User program with scalable feedback loops between support, Product, and Engineering pre and post launch, so customer insights inform product development and strategy. - Advocate for users by representing their needs and pain points in product and engineering discussions. - Partner with Product, Engineering, Marketing, and Operations to align on launch goals and timelines. - Monitor post-launch performance and gather support data to assess product impact and inform improvements. - Document and standardize launch procedures to make them repeatable and scalable. - Identify launch risks and propose solutions that minimize disruption to customers. - Report on feedback-loop performance, including key insights, trends, and recommendations for the product roadmap. You might thrive in this role if you: - Have experience leading product enablement or launch-readiness functions at scale, particularly in a customer support environment. - Have shipped tooling or automations that reduced manual work and scaled beyond a single team (workflows, dashboards, scripted automation, lightweight pipelines)." - Have experience in product management with automation and tool development, using metrics and feedback to improve decisions and processes. - Build strong cross-functional relationships with Product, Engineering, and Operations teams. - Are passionate about customer advocacy and can translate customer feedback into strategic product insights. - Are highly organized and able to manage multiple projects with competing deadlines. - Communicate technical concepts and customer pain points clearly to diverse audiences. - Take ownership of initiatives from ideation through implementation and post-launch analysis. - Thrive in a fast-paced environment with shifting priorities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
GRC Technical Program Manager, Product Lifecycle A...
About the Team Governance, Risk, and Compliance (GRC) is foundational to Security delivering mission outcomes at OpenAI. The GRC team provides security assurances and builds compliance for OpenAI’s technology, people, and products. We are technical in what we build but operational in how we do our work, and we partner deeply with Product, Security, Legal, Privacy, GTM, and Field Security to help OpenAI move quickly while maintaining trust with customers, auditors, regulators, and the public. About the Role We are looking for an experienced Product Lifecycle Assurance IC to help scale OpenAI’s GRC function across our product stack to ensure products address customer and regulatory compliance requirements at launch and regressions are detected promptly and corrected. You will partner closely with Product, Security, Legal, and Privacy teams to make sure OpenAI can move quickly while maintaining our security, privacy and compliance claims and giving customers, auditors, and regulators assurance about how OpenAI handles user data. You are responsible for product assurance end-to-end from inception to post-launch (continuous) monitoring. You leverage existing workflows, reviews, and data and enhance, augment and build the components needed to create an end-to-end product assurance program. This role is not about supporting SOC or ISO audits; it's a highly cross-functional and deeply technical operations role to ensure that OAI products meet the compliance bar at launch, regressions are prevented and detected, and our compliance state can be evidenced. This role also helps ensure that our product launch governance program operates effectively across key safety, privacy, legal and security stakeholders and lessons-learned from incidents and regressions are used to improve the program. You or in partnership with engineering teams, build key controls in our infrastructure stack, developer workflows and launch tooling to provide developers with guardrails, perform CI/CD conformance checks, and surface launches that need GRC guidance. You ensure that teams have the information needed to design and launch safety and meet them where they are. You exercise sound judgement in making high-stakes decisions related to product launch risk and controls. You are comfortable working in high velocity, low friction development environments. Your work goes across team boundaries and you assist and enable other teams to realize product assurance objectives. You should be comfortable with complex (Kubernetes) system architectures and dataflows, working with engineering teams to understand what could go wrong and where and how controls should be applied. You should be comfortable working with Privacy engineering and Data Science to understand data maps and database schemas and leverage existing processes and controls to further product assurance goals. We’re looking for people who bring: - Strong technical product lifecycle assurance and security and privacy compliance experience working in high velocity, low friction development environments. - Experience building technical controls, metrics, monitoring tools, CI/CD tooling, high-fidelity risk signals and dashboards to meet product assurance goals - Ability to run an end-to-end, cross-functional, product assurance program applying judgement where what type of process or controls should be in place to meet a high assurance bar - Capacity to shift product assurance to the left in the product development cycle with just-in-time controls, guidance, guardrails and responsible friction for developers - Low ego outcome oriented mindset to achieve the product assurance goal required for OAI’s mission - Strong technical cross-functional leadership and don’t work in a vacuum - they influence, align and direct partner teams to achieve product assurance goals. - Exercise sound judgement in making high-stakes decisions related to product launch risk and controls. You’ll be responsible for: - The end-to-end effective operation of OAI’s product assurance program from product development to post-launch (continuous) monitoring - Owning the GRC product assurance program, providing governance over Safety, Deployment, Security, Legal reviews to ensure we effectively surface product risk and design scalable mitigations - Driving cross-function collaboration and accountability in all aspects of the product assurance program - Building controls and low-friction, scalable processes in our infrastructure stack, developer workflows and launch tooling to ensure effective product assurance - Ensuring that teams have the guidance needed to design and launch safety and meet them where they are - Ensuring compliance, security and privacy claims and maps to verifiable controls - Recognizing how the product lifecycle assurance program fits into the large organizational objectives and when to build and when to influence and maintain strong partnerships with partner teams and influence roadmaps to further assurance goals - Applying sound judgement in launch reviews, technical assurance trade-off and management of OAI risk posture to guide product and engineering teams on the highest priorities About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Full Stack Engineer, Enterprise Expansions
About the Team Enterprise Expansions is part of OpenAI’s Enterprise Engineering organization. We help organizations make ChatGPT Work part of everyday work, from discovering what it can do to building useful agentic workflows. Our goal is to help employees move from their first chat to confidently using AI to get work done. Our full stack work focuses on two workstreams: - Agentic Activation: Help first-time chat users become effective agent users within their organizations. Bring organizational context into ChatGPT and build personalized onboarding, product education, and experiments that help people adopt agents in daily workflows. - Work Discovery: Make relevant skills, plugins, capabilities, and context easy for knowledge workers to find and ready to use. Build discovery experiences across the frontend and backend. Across both workstreams, we ship quickly, learn from customers, and use experiments to improve adoption. About the Role We’re looking for a full stack engineer with strong frontend skills, product instincts, and UX and design taste. The work ranges from activating first-time users to helping knowledge workers discover the capabilities and context they need to make ChatGPT useful in their daily workflows. You’ll own projects from early prototypes through production and iteration, shaping interactions and building the backend services that support them. This role is a fit for someone who cares about the details of how a product feels and can turn an ambiguous user problem into a simple, polished experience. This role is based in San Francisco. In this role, you will: - Build personalized onboarding and product education that help first-time ChatGPT users adopt agentic workflows. - Create discovery experiences that make relevant skills, plugins, capabilities, and organizational context easy for knowledge workers to find and use. - Shape product flows and implement polished interfaces, with careful attention to interaction details, accessibility, and responsiveness. - Own the frontend and backend of product features, including the services, APIs, and data flows that support the user experience. - Design and run product experiments, measure adoption, and use the results to improve how people get started and build lasting habits. - Learn directly from customers, identify work that agents can take on, and turn those insights into prototypes and production features. Your background might look something like: - 7+ years of professional software engineering experience, excluding internships, building and shipping user-facing products. - Strong frontend engineering skills and experience building production web applications with modern frameworks. - Strong UX and design taste, demonstrated through intuitive product flows, thoughtful interaction design, and attention to visual detail. - Experience building backend services, APIs, and data models, with the ability to work independently across the stack. - A track record of owning features from problem definition and technical design through implementation, launch, and iteration. - Strong product judgment and experience using customer feedback and product data to decide what to build and how to improve it. - Sound engineering fundamentals and a practical approach to testing, performance, accessibility, reliability, and maintainability. - Ability to collaborate closely with designers, product managers, and engineers, and make progress when problems and priorities are still taking shape. - Deep experience in growth engineering, activation, onboarding, or product experimentation is a strong plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Commercial Account Executive (UK)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: Location: Hiring in London,UK We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. WHAT YOU’LL DO: - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through - Build relationships with prospects and customers, understanding their needs and how our products can help - Prospect strategically into SMB, mid-market, and small-enterprise accounts How to be successful in this role: - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward Co
Research Scientist, Life Sciences (Experimental Bi...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science. Key responsibilities - Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable - Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis - Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions - Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Minimum qualifications - Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field - Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems - Have basic proficiency in Python and are familiar with ML development practices <h2 class="text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold
Software Engineer, Fleet Infrastructure
This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from - Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems - Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades - Supporting research workflows with service frameworks and deployment systems - Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching - Much more! About the Role As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. - Interface with researchers and product teams to understand workload requirements - Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service You might thrive in this role if you: - Have experience with hyperscale compute systems - Possess strong programming skills - Have experience working in public clouds (especially Azure) - Have experience working in Kubernetes - Execution focused mentality paired with a rigorous focus on user requirements - As a bonus, have an understanding of AI/ML workloads About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Creature AI Programmer
We are looking for an experienced creature AI Programmer who will be responsible for supporting the development and implementation of creatures in our animation team. This position will create systems and features that enhance the work of our animators and will be a key interface with the wider programming team. You will deploy a variety of skills to bring these creatures to life and a strong understanding of animation, physics, AI and gameplay programming is essential. You should be willing to work at the Playdead office in Copenhagen, Denmark. What will I be doing? - Designing and developing new AI systems and features to aid creature setup, navigation and interaction between creatures and an open world environment. - Create custom scenarios in collaboration with the animation team - Develop debug tools to help our animators when needed - Engage with the wider programming team to ensure we develop sustainable, optimised and stable functionality. What we would like to see - Professional experience working with AI development, tooling and/or animation systems - Deep technical experience and competence working with C++ and Unreal engine - You have developed and released at least 1 AAA game - You have a collaborative spirit and work to solve problems as a member of the wider production team We are open minded about the technologies we deploy and always open to consider new options to solve emerging challenges. Who we are Playdead is an independent game developer based in Copenhagen, Denmark. We are the creators and publishers of LIMBO and INSIDE. Our current project is a 3rd person, open world, science fiction adventure built for multiple platforms on Unreal Engine, published by Epic Games Publishing. Our legacy and ambition is to make games with an uncompromising attention to detail. Our approach to development is experimental, iterative and collaborative. We are particularly interested in friendly, talented people who feel confident taking charge of their own schedule. We are currently more than 100 creative professionals and still looking to grow. Learn more about us at www.playdead.com
Software Engineer, GTM Growth Engineering
About the Team GTM Growth Engineering builds AI-native products and systems that help OpenAI's go-to-market and B2B marketing organizations operate with greater speed, focus, and leverage. Our mandate is revenue leverage: products tied directly to pipeline quality, customer engagement, seller and marketer productivity, and the speed at which OpenAI can bring its technology to customers. We build the infrastructure and user experiences behind high-impact GTM workflows, including customer context, prioritization, routing, campaign execution, review surfaces, feedback loops, and measurement. Our work combines product craft, applied AI, reliable systems, and thoughtful operational design. About the Role We’re looking for a product-minded Software Engineer to build AI-powered products and full-stack experiences for GTM Growth Engineering. You will own meaningful product slices end to end, from user experience and frontend implementation to backend APIs, integrations, data models, instrumentation, and launch readiness. This is a role for engineers who want to build products that do real work in production. You will partner with Product, Design, Data Science, Sales, B2B Marketing, and operations teams to understand high-value workflows and ship systems that improve customer engagement, pipeline, conversion, and team productivity. The role is ideal for a strong product engineer who can move between product craft, systems engineering, applied AI, and measurable business outcomes. You should be excited to build from ambiguous problem statements, ship quickly, and improve products based on real user feedback. What You'll Do - Build AI-powered products and workflows that help sales and B2B marketing teams identify opportunities, coordinate work, and engage customers more effectively. - Own full-stack product experiences from prototype through launch, instrumentation, iteration, and production hardening. - Design intuitive user journeys that combine polished interfaces, reliable services, structured data, and practical AI capabilities. - Create product surfaces that help humans review, supervise, and improve automated or AI-assisted workflows. - Build reliable frontend applications, backend services, APIs, and integrations with internal tools and business systems. - Use telemetry, qualitative feedback, and product metrics to understand adoption, friction, quality, and business impact. - Partner closely with Product, Design, Data Science, Sales, B2B Marketing, operations, and other GTM stakeholders. - Translate ambiguous customer and operational problems into clear product requirements, pragmatic technical decisions, and working software. - Make thoughtful tradeoffs across speed, product quality, accessibility, reliability, privacy, safety, and operational simplicity. What We're Looking For - 4+ years of experience as a software, product, or full-stack engineer building high-quality, user-facing products. - Strong frontend or full-stack engineering skills, with comfort across modern web applications, APIs, data models, and stateful user experiences. - Strong product judgment and a track record of turning ambiguous ideas into shipped, useful products. - Experience building in 0-to-1 or fast-moving environments where user needs, product shape, and success metrics are still evolving. - Excitement about applying AI thoughtfully to real workflows and building products that help people do better work. - A high bar for UX quality, interaction details, accessibility, reliability, and user empathy. - The ability to use product data, qualitative feedback, and experimentation to identify friction and improve outcomes. - Clear written and verbal communication, especially when explaining technical tradeoffs to cross-functional partners. - Sound judgment when building products that touch customer data, business processes, and important operational decisions. You Might Thrive If - You want to build products that have a visible impact on revenue, customer engagement, and how GTM teams operate. - You are excited by products where people, data, and AI work together in real operational workflows. - You like discovering the right product direction through shipping, measurement, and iteration. - You can move between prototype speed and production-quality engineering without losing sight of the user. - You enjoy working closely with non-engineering partners and turning domain expertise into clear product experiences. - You are energized by applied AI, growth systems, B2B marketing, sales workflows, and products that help teams operate more effectively. - You have strong opinions about product craft but adapt quickly as evidence and user feedback come in. Nice to Have - Experience building GTM, sales, B2B marketing, growth, revenue, customer-support, or internal-product systems. - Experience building AI-powered applications, agent-assisted workflows, or products that integrate language models. - Experience with product analytics, experimentation, telemetry, feedback loops, or lightweight evaluation systems. - Experience building products where reliability, privacy, safety, human oversight, and customer trust matter. - Experience building product surfaces used by both individual contributors and organizations, including admin, reporting, or operational workflows. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Architect
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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